Software Product Reliability Engineer Jobs

About the Team The Enterprise Platform Technology (EPT) team builds internal software for OpenAI’s go-to-market teams, helping streamline workflows and improve decision-making. We are building a reliable foundation that other teams can extend with their own applications. About the Role As a full-stack Software Engineer on EPT, you will build web applications, integrations, and shared platform capabilities. You will own architecture decisions and partner with business and engineering teams to improve seller workflows and develop intelligent workflow experiences that help teams identify useful next steps. We’re looking for product-minded engineers who can independently turn complex business needs into full-stack software. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and deliver full-stack web applications and integrations that support go to market workflows Define platform and application boundaries that let other teams extend our go to market systems while protecting sensitive data, reliability, and data integrity. Work with product and business partners to prioritize useful capabilities, including intelligent experiences informed by relevant business context.. You might thrive in this role if you: 5+ years of professional software engineering experience, excluding internships, on product-driven teams. Experience building large-scale, full-stack software applications in collaboration with cross-functional teams. Make sound architecture and product decisions for connected systems, with attention to sensitive data, reliability, and maintainability. Communicate clearly and collaborate across engineering and business teams. The EPT platform uses Python/FastAPI and React, but experience with those specific technologies is not required. Agentic-system experience is a plus, not a requirement. About OpenAI OpenAI is an AI research and deplo

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Stablecoin team within the Developer product group builds and operates the platforms that power stablecoin issuance, growth, and ecosystem expansion at Coinbase. As a Software Engineer, you'll help deliver a suite of international stablecoins by evaluating and integrating external partner APIs, building backend services that enable issuance and operations, and contributing to the rewards and growth systems that drive stablecoin adoption across Retail, Exchange, Prime, and Custody products. What you'll do: Build backend services that power stablecoin issuance, onboarding, and operations, including integrating external partner APIs with internal systems to launch new international stablecoins. Own end-to-end delivery of features from technical design through production, working closely with product managers, designers, and tech leads on scope and implementation. Support the smart contracts that mint, burn, and safeguard stablecoin supply, working with senior engineers on design and security review. Partner with cross-functional teams across Stablecoins UX, Growth, and Ecosystem to deliver rewards, incentive, and conversion features that drive stablecoin adoption. Execute reliability and quality improvements across the stablecoin platform, writing well-tested code and contributing to observability, monitoring, and operational excellence. Required Skills and Exp

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior FullStack Software Engineer on the CLEAR1 team, you’ll operate at the intersection of modern web platforms, healthcare interoperability standards, and high-assurance identity systems powering frictionless, trusted healthcare experiences nationwide to connect patients, providers, and partners. A brief highlight of our tech stack: Python / React / Typescript / AWS cloud What you’ll do: Design and deliver secure, scalable fullstack solutions that integrate with enterprise EHR systems and national health information exchange frameworks Build and maintain healthcare data integrations leveraging FHIR (RESTful APIs/JSON) and HL7 v2 messaging to enable compliant, real-time data exchange Develop identity resolution and patient matching capabilities using identifiers such as MRNs and NPIs to ensure integrity across disparate clinical systems Partner with Engineering, Security, Product, and Health Information Management teams to implement compliant, audit-ready workflows for regulated healthcare processes Collaborate with external vendors (e.g., Epic Technical Services) to troubleshoot integration issues, manage deployments across TST/PRD environments, and ensure production reliability How you’ll measure success: Successful delivery and stability of FHIR/HL7 integrations across healthcare partners Reduction in data integrity issues related to patient matching and identity resolution High system uptime and successful production deployments across tiered clinical environments Audit readiness and compliance adherence for regulated workflo

About the Team The Codex App team builds and maintains the Codex desktop app and IDE extension — the primary ways developers interact with Codex. Our goal is to make AI feel like a real software engineering teammate inside real workflows: editing code, running tasks, reviewing changes, and coordinating long-running work. We sit at the intersection of research, product, and design. We ship quickly, learn from real usage, and continuously refine both the experience and the harness that connects users to the model. About the Role We’re hiring a Frontend Software Engineer to build a top-tier desktop experience and push forward the interface for working with agents. This is a craft-heavy role: you’ll partner closely with design to prototype, iterate, and polish new interaction models — then turn them into reliable, high-performance product. You’ll help define what great looks like for “human ↔ agent” collaboration: what belongs in the UI, how state is represented, how progress and uncertainty are communicated, and how users stay oriented across long-running and multi-step work. What You’ll Do Build and ship polished, high-performance UI across the Codex desktop app and IDE extension. Partner tightly with design to turn prototypes into production-quality experiences (layout, motion, typography, interaction details). Iterate on future interfaces for interacting with agents: delegation, task timelines, status/progress, handoffs, review, and control surfaces. Own frontend architecture decisions (component systems, state management, navigation, rendering performance). Improve quality and reliability through testing, instrumentation, and thoughtful UX for failure modes. Collaborate with platform/model/backend partners to integrate new capabilities into cohesive product flows. You Might Thrive Here If You Have strong experience with modern frontend stacks (React, TypeScript) and a high bar for UI craft. Love design engineering: sweating the details while keeping velocity. Have

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security tea

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Be part of the Engineering team that designs, develops, and maintains innovative features for our Object product on FlashBlade and FlashArray platforms. You’ll take ownership of these features throughout their lifecycle, from concept to implementation, ensuring they meet evolving requirements, incorporate technical updates, and maintain high standards of quality, reliability, and compliance. You’ll work within the CPBU group, developing and maintaining various data transmission protocols and handles the internal storage of the data. Collaboration is at the heart of what we do, you’ll partner closely with teams across engineering, product development, account management, and other key stakeholders to deliver exceptional outcomes. Together, we’re shaping the future of the all-flash array market and redefining what’s possible in unified file and object storage. WHAT YOU’LL DO Design and implement innovative algorithms and technologies for high-performance, highly reliable systems (aiming for six nines of availability). Take ownership of solutions end-to-end: from concept through delivery of new features or products. Analyze complex technical challenges and develop effective, thoughtful solutions. Collaborate with a talented and supportive team that values learning and shared success. Contribute to customer satisfaction by delivering reliable, high-quality systems. Continuously grow your technical skills and domain ex

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our team. This is a hybrid role based in Bangalore/Hyderabad, reporting to the Senior Manager of Software Engineering. You will join the Engineering team that built the world’s largest cloud security platform from the ground up. As a leader in our multitenant architecture, you will bring your vision and passion to help organizations worldwide harness speed and agility with a cloud-first strategy. What you’ll do (Role Expectations) Understand how to build and operate high scale systems Provide service and product wide architectural guidance, and drive impactful technical decisions Establish and enforce best practices for coding, testing, observability, and CI/CD pipelines to maintain high-quality, production-ready services Drive cross-team collaboration and lead initiatives in performance optimization, reliability improvements, and adoption of new t

The Data Loading Infrastructure ( LunaDb ) team establishes core foundational architecture required to power web, mobile, and external API platforms, helping deliver millions of requests within seconds. We design, maintain, and scale data infrastructure to ensure Asana’s applications remain high-performing, fault-tolerant, and globally consistent. We are seeking a Software Engineer to join our team to help maintain and modernize our data loading tier. In this role, you will work closely with senior engineers to enhance platform reliability, optimize data processing pipelines, and ensure smooth operational throughput across our global infrastructure. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop, test, and operate scalable backend microservices, caching layers, and high-throughput data processing platforms. Participate across all phases of the software development lifecycle, including system design, implementation, automated testing, deployment, and ongoing maintenance. Build and optimize relational and non-relational storage interactions, streaming data pipelines, and database query pathways. Partner cross-functionally with product engineering teams to integrate backend infrastructure with new product features and enterprise capabilities. Maintain platform health and operational standards by participating in standard team on-call rotations, debugging production issues, and refining monitoring tools. Write clean, maintainable, well-documented code while actively participating in code reviews and architectural discussions. About you 2+ years of experience working within large,

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the Role Build the quality practices and systems that help connect kitchen teams, cloud services, and robotic production systems. As a Senior Software Quality Engineer, you will own test strategy, release validation, automation, and early issue triage across complex software and operational workflows. You will work across frontend applications, backend services, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware, and mechanical teams to understand how the system is expected to behave, identify meaningful risks, and turn ambiguous operational requirements into practical test plans and reliable validation processes. We are looking for someone who is deeply hands-on, enjoys investigating complex problems, and takes ownership from planning through release and production support. You’ll collaborate with experienced engineers across disciplines while helping raise the quality, reliability, testability, and maintainability of our software. What you’ll do Create and execute test strategies for complex product capabilities spanning user interfaces, backend services, cloud infrastructure, external integrations, and robot-adjacent systems. Develop detailed test plans based on product requirements, technical designs, operational workflows, system dependencies, and potential failure modes. Own and coordinate release checkout, including defining readiness criteria, validating critical workflows, documenting res

About the Team Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers assess changes and improve models and products. We work closely with researchers and data scientists and have broad ownership of the software that makes these capabilities available. Our work spans real-time systems, data engineering, model serving, and tools for experimentation, with careful attention to performance, reliability, and privacy. About the Role We’re looking for a software engineer to build and evolve our classification and evaluation platform. You’ll develop services, online and offline pipelines, and tools that help researchers and data scientists turn an idea into a working measurement and iterate on it quickly. This role combines software and data engineering with hands-on production ownership. You’ll shape the architecture, deliver new capabilities, improve inference efficiency, and keep the system dependable as workloads and requirements evolve. Strong candidates will bring deep software engineering expertise and an interest in building a technical product in close partnership with its users. In this role, you will: Design and build software services and APIs for configuring, running, and managing classifiers and evaluations. Build and operate online and offline classification pipelines that support reliable, efficient execution at scale. Improve model-serving performance, including throughput, latency, concurrency, and compute utilization. Build tools that make experimentation, debugging, and iteration straightforward for researchers and data scientists. Own production reliability, observability, and incident response, and reduce the operational burden of running the platform. Partner with machine learning engineers to bring new classification capabili

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Drive the technical resolution and stability of Everpure's highest-stakes cloud storage deployments for top-tier hyperscale partners. As a Senior Software Engineer on the Hyperscale Product Escalations team (known internally as a Forensics Engineer), you will serve as the technical bridge between field telemetry and core engineering, diagnosing high-complexity distributed systems failures and creating automation that anticipates issues before they impact customer workloads. You will directly influence customer trust, enable multi-million dollar account success, and help architect the future of hyperscale storage solutions built for AI-driven infrastructure. WHAT YOU'LL DO Lead Root-Cause Investigations: Analyze complex system behavior, memory dumps, field telemetry, and low-level code across platform, firmware, and software layers to isolate and resolve critical failures in large-scale distributed systems. Build System Health Automation: Design and deploy automated diagnostics, predictive health-monitoring services, and AI-assisted workflow tools that reduce manual triage time and prevent recurring failure patterns across growing global fleets. Direct Hyperscaler Engineering Collaboration: Partner directly with technical teams at hyperscale customer organizations to solve deep integration challenges, ensuring platform reliability and unlocking major expansion opportunities. Engineer Fleet-Wide Reliability Improvem

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. The Solution Lifecycle team is looking for a curious, growth-minded Senior Software Engineer II to work on building the next generation of our platform while tackling meaningful distributed systems challenges alongside a talented engineering team. You will collaborate closely with product managers and fellow engineers through code reviews and architectural discussions, and you will have the opportunity to mentor other engineers. You will also work on the core infrastructure of Smartsheet, focusing on the reliability, stability, and scale of our foundational systems. This role is a great fit for someone with a strong background of hands-on development, experience in working on Infrastructure as Code (IaC) and has solid technical leadership experience. This team practices mob programming for the majority of the workday. We operate through collective code ownership, meaning you'll be collaborating in real-time with teammates most of the time—not working solo on isolated tasks. We focus on building high-quality software while adhering to rigorous operational best practices. If you are passionate about continuous learning and ready to dive into the core foundation of our platform, we want to hear from you. You Will: Build Next-Generation Backend Services: Design and build scalable back-end services for Smartsheet's next-generation applications, solving complex distributed systems challenges while partnering closely with product management and other key stakeholders. Contribute to Core Infrastructure: Help build and maintain t

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Key Responsibilities: Own and enhance the reliability, scalability, security, and operational readiness of production and non-production environments. Build and maintain Infrastructure as Code (IaC), configuration management, CI/CD pipelines, deployment automation, and operational tooling. Collaborate with Engineering, Product, QA, Security, and Cloud teams to support releases and production deployments. Implement and improve monitoring, observability, logging, alerting, and incident response processes. Troubleshoot issues across Linux and Windows systems, networking, DNS, SSL/TLS, web servers, databases, APIs, and cloud platforms. Support cloud migration, platform modernization, vulnerability remediation, patching, disaster recovery, and operational documentation. Participate in production support, incident management, root cause analysis, and continuous service improvements. Design, develop, test, and deploy new product features and enhancements. Utilize AI-assisted development tools for code generation, refactoring, testing, and documentation while adhering to engineering best practices. Key Skills: 8+ years of exper

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you looking for an opportunity to join our fast paced and passionate team that supports multiple IT applications built on various technologies with continuous modernization in progress? We are Modern Delivery Tool Chain (MDTC) accountable to lead continuous improvement of operations, operational automation, and high availability for tools. Our Impact: We build and enhance software applications required for mandatory reporting of Freddie Mac’s mortgage loan data to Federal Housing Finance Agency. Partner with Product and Business team members to ensure high quality product is developed and released into production. Work closely with Architecture, Stakeholders, Operations Partners, and Business Product teams to specify and refine solutions and practices. Evolve a DevOps culture to provide high quality, continuous operations, and ongoing support ensuring critical service level metrics, customer requirements and financial objectives. Driver for modernization of Freddie Mac’s 5000+ customers to release small incremental changes to production at 5x pace. Your Impact: Maintain AWS infrastructure and cloud environments to support platform reliability, availability, security, compliance, and operational readiness. Manage Amazon S3 buckets, including access controls, lifecycle policies, storage optimization, data retention, and operational support. Create and maintain CFT and Terraform templates to standardize

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify an